ACM ASIACCS 2021
Keynote Session 1
9:30 AM — 10:30 AM HKT
Jun 7 Mon, 9:30 PM — 10:30 PM EDT
Trustworthy Machine Learning: Past, Present, and Future
Somesh Jha (Lubar Professor, Computer Sciences Department, University of Wisconsin, Madison, USA)
Fueled by massive amounts of data, models produced by machine-learning (ML) algorithms, especially deep neural networks (DNNs), are being used in diverse domains where trustworthiness is a concern, including automotive systems, finance, healthcare, natural language processing, and malware detection. Of particular concern is the use of ML algorithms in cyber-physical systems (CPS), such as self-driving cars and aviation, where an adversary can cause serious consequences. Interest in this area of research has simply exploded. In this work, we will cover the state-of-the-art in trustworthy machine learning, and then cover some interesting future trends.
Man Ho Au